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Apple is said to be tightening its spending limits on artificial intelligence (AI) tools used by employees. According to a report, the Cupertino-based tech giant has already reduced the daily allowance for some engineers using AI models from $300 to $200, with further cuts being considered for select teams, even as it looks to make AI a bigger part of its internal operations. The proposed changes will reportedly bring some engineering budgets down to $100 per day. Meanwhile, employees in other departments may also face lower limits.
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OpenAI announced GPT-6 Cyber on Thursday as its latest AI model to help security researchers identify software vulnerabilities, develop working exploits, and create fixes. According to the San Francisco-based company, it delivers significant improvements over GPT-5.6 Cyber on cybersecurity benchmarks, including a 51 percent relative improvement on ExploitGym. The AI model is also claimed to be capable of following authorised testing boundaries more reliably. OpenAI says GPT-6 Cyber has already helped uncover vulnerabilities in widely used software.
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ElevenLabs, the AI music generation platform from ElevenLabs, has announced a partnership with SoundCloud aimed at simplifying the process of creating, sharing, and uploading music. This collaboration lets users publish AI-generated music directly to the music streaming platform through its ElevenMusic service. The integration allows creators to generate music using ElevenMusic and upload their tracks to SoundCloud without leaving the platform. As part of the partnership, new and existing SoundCloud Artist Pro subscribers will also get three months of ElevenMusic Pro at no additional cost.
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Claude Personal Finance was introduced by the Dario Amodei-led AI giant Anthropic on Thursday. It is a specialised tool that has been integrated directly into Anthropic's AI chatbot. The AI giant claims that Claude Personal Finance allows users to manage their money matters better by providing insights. Users have to connect their financial accounts, allowing the specialised AI tool to retrieve information on their financial health. However, the company says that the Claude Personal Finance tool can not make changes on the user's behalf. The new Claude tool will be rolled out in beta to paid subscribers in select regions.
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Google DeepMind has introduced Gemini Omni 1.2 Flash. This latest video generation model introduces native 15-second video creation and new editing capabilities. Google says the new model brings a 30 percent price reduction compared to Gemini Omni 1.1. It lets users draft content at 360p or 720p for just $0.07 per second. It supports generating and editing continuous video clips up to 15 seconds long and enables Conversational Editing.
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After launching its AI assistant in September, Meta is back with another update which will now let users have real-time conversations. Called Muse Voice, the feature will work Meta's Muse Realtime Avatar to provide life-like conversations complete with gestures and expressions. The feature will only be available to users in the US and will be coming to other markets soon. The assistant was launched in the US in September but has made its way to Canada. However, it's not possible to access the AI assistant outside of these countries due to regional app store locking.
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Airbnb reported its third-quarter (Q3) 2026 financial results Thursday. Along with its financial health, the platform also shared its plans and products it plans to introduce soon. The company has revealed that it has started developing a dedicated AI agent that will help users plan their trips. Airbnb plans to start rolling out the AI travel agent next year. Airbnb says that its upcoming AI travel agent will use data from different travel-specific libraries. The company has already deployed an AI agent for customer support. The platform also features AI Search, AI Filters, AI Listing Descriptions, and AI Companion, with each tool offering a specific functionality.
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Anthropic announced Thursday that Claude is getting a new tool called “Personal Finance,” designed to help users keep track of their money. With it, users can connect their bank and credit card accounts through Plaid and ask Claude questions about their finances. Anthropic says access is read-only, meaning Personal Finance can’t move, manage, or invest users’ money. By letting Claude connect directly to bank and credit card accounts, Anthropic is positioning its chatbot as a financial companion that can help people understand their spending and make sense of their money, rather than simply offering them generic advice. With the launch, Claude is playing catch-up to OpenAI’s ChatGPT, which introduced similarpersonal finance toolsin May that also let users connect their financial accounts and ask questions about everything from spending patterns to long-term financial planning. “Claude gives you answers in everyday language, from your balances and transactions, and explains any term that’s new to you,” Anthropic wrote in a blog post. “Like the rest of Claude, Personal Finance has no ads or sponsored recommendations, and it doesn’t offer credit cards, loans, or savings accounts of its own, so your money questions get a straight answer.” For instance, at the end of the month, a user could ask Claude, “Where did my money go this month?” The chatbot will then add up spending across the connected accounts and sort it by category, such as rent and utilities, food and drink, and shopping. Users can choose to go deeper by following up with questions like, “Is that more than usual?” or “Anything else I’m missing?” Anthropic says the tool goes beyond basic spending summaries by analyzing transactions across connected accounts to flag potential issues, such as duplicate charges, unexpected fees, and steadily increasing bills. Users can also ask broader questions about their finances, such as whether they’re spending more than they earn. The tool can also explain financial concepts like APR (annual percentage rate), while providing calculations that show users how much they’ve paid in interest over the past year. Of course, some people will have reservations about connecting their financial accounts to an AI chatbot. Anthropic says Claude’s access is limited to each connected bank’s name, account name and type, the last four digits of the account number, balances, credit limits, and up to two years of transaction history. Additionally, the company notes that when users chat with Claude in the Personal Finance hub, those conversations aren’t used to train its models. Personal Finance starts rolling out in beta this week to users on the Pro, Max, and Ultra plans in the U.S. The launch of the new tool comes as Anthropic has been expanding Claude into new verticals. For instance, Anthropic launchedClaude for LegalandClaude for Financial Servicesearlier this year.
OpenAI co-founder and president Greg Brockman said the company would be ready for an IPO in 2027, noting that its enterprise revenue has been growing. Speaking at aWall Street Journal tech conferenceon Wednesday, the executive touted how the company had been gaining ground in the enterprise market, where rival Anthropic had already successfully made inroads. In response to the interviewer’s question about being IPO-ready next year, Brockman replied, “I think so. Yes.” “We’ve been very clear this year that we want to go public when we feel is the right time for us, and I feel extremely good about the business. I feel like we’ve made so much progress this year, and I’ve honestly never felt more confident in what we’re doing,” Brockman said. He detailed how OpenAI’s trajectory as an enterprise had changed over the course of 2026, noting that the first and second quarters were “pretty rough.” He also admitted that OpenAI “wasn’t even in the conversation” when it came to agentic coding — an area where Anthropic’s Claude Code has gained market share. “We had Codex, but no one was talking about it,” Brockman continued, “and I think that we just kept our heads down and executed.” By the third quarter, activity picked up, as OpenAI saw 70% quarterly growth in its annualized revenue — something Brockman attributed to the enterprise side of the business doubling. He explained that the growth wasn’t simply the result of something that happened in the quarter itself, but rather the culmination of investments the company had been making up to that point. Now the majority of OpenAI’s revenue is coming from the enterprise business, which previously accounted for only around 30% of its total revenue. “And it’s not that consumer [revenue has shrunk] … It’s been growing, but it’s the enterprise segment has really taken off,” he said, pointing to a recent partnership with JPMorgan Chase as one example of the type of client it’s now winning deals with. Brockman also spoke more broadly about the lessons OpenAI learned from selling into the enterprise market as well. He said the company had come to understand that its job was to help businesses identify the most important milestones they could achieve with its AI technology, build trust with clients, and demonstrate that it was a reliable partner for the long haul. “A year ago, we weren’t even really in the enterprise game, right? We were really perceived as a consumer company, and a lot of the companies we’d start talking to would say, ‘Is OpenAI really committed to the enterprise?’” Brockman said. “But it’s so different today.”
Max Justicz, the chief technology officer and co-founder of the startup Charge Robotics, used an OpenAI model to finda severe vulnerabilitythat — if exploited — could allow hackers to take control of servers running Ubuntu, a widely used open source Linux-based operating system. Justicz, who has a hobbyist’s interest in cybersecurity and previously found a vulnerability in the same codebase, told TechCrunch that he found this issue using GPT 5.6 Sol, released in July, through the AI maker’s Daybreak Blue, a program that gives cybersecurity defenders access to powerful frontier models. “I literally just aimed ChatGPT at the same body of code and said ‘I found this bug previously that was fixed several years ago, please find bugs as bad or worse,’ and it came back in two hours with this,” Justicz said. “It’s extremely convoluted and hard for a human to find, but it works!” He reported the issue to the Debian Project, which maintains the software in question and issued a patch to fix the vulnerability. There has been no known evidence of exploitation. Still, the ease with which he found it suggests that we’ve only seen the tip of the iceberg when it comes to potential exploits that even novice hackers can utilize with the help of AI models. “I can only imagine what one could do with more time and access to less neutered models. We should expect some extremely crazy bugs to be found and exploited over the next few months,” Justicz wrote in asocial media threaddiscussing his finding. “This might be obvious to most folks here, but there is currently huge alpha in taking some code or binary someone has not audited yet and just aiming a powerful AI model at it.” OpenAI appears to have noticed. Today, the AI giantannounceda new model focused on cybersecurity, ChatGPT Cyber, would be made available to the highest tier of users in the cybersecurity program, Daybreak Red, which allows offensive cybersecurity researchers tools for vulnerability hunting and development. Yesterday, OpenAIsaidthat the same model had been used to scan and prepare patches for vulnerabilities in the Linux kernel, finding 948 potential issues. OpenAI also found 81 “novel” vulnerabilities in Firefox, the web browser. “Our goal is to dramatically expand Daybreak, bringing advanced security research to organizations of every size, independent researchers, and open-source maintainers,” the frontier lab said in a statement. OpenAI has insisted that there is a narrow window of time for the people who safeguard digital infrastructure to take action before AI models become even better at hacking and easier to access. For cyber defenders, however, it can feel like the frontier labs have unleashed a mountain of new work that outstrips their resources. Justicz said that he personally spent about $5,000 on subscriptions and tokens to find several exploits. Besides Daybreak’s model access, OpenAI hasalso announceda $1 billion initiative to support cybersecurity professionals in the program who work on critical infrastructure like the electrical grid or water systems. The Daybreak program has its own critiques. Justicz notes that the frontier lab appears to have recently “nerfed” Daybreak Blue to make it less useful at finding vulnerabilities. On one hand, it may be good to limit access from potential bad actors — Justicz said he just uploaded a photo of his driver’s license to join the program. On the other, cybersecurity professionals say they have one hand tied if they can’t use frontier technology while bad actors can deploy open-weight models withabliterated guardrails. Still, OpenAI says just “thousands” of cybersecurity professionals are participating in the Daybreak program, versus a far larger number of potential hackers. It’s unclear if frontier labs are devoting enough of their resources to this issue. Eric Wallace, a researcher on OpenAI’s technical staff, said that “we are now allocating a significant amount of our frontier compute towards discovering and patching vulnerabilities in open source codebases, fully pro bono.” But the Linux bug hunt cost $1.2 million, which is significantly less than the approximate $6 million token spend the company invested in finding a potential solution to a famous problem of fluid dynamics. If there is a narrow window of time to patch the digital infrastructure the world depends on, more urgency may be required.
Meta president Dina Powell McCormick said that the Democratic wins in the midterm elections are going to make it a lot harder for companies to build data centers, adding that the industry has “not done as good a job as we needed to explain the benefits of these investments.” Speaking at theWSJ Tech conferenceon Wednesday, the Meta exec pointed out that the backlash against data centers — which wasvery much on the ballot during this election season— was also tied to people’s feelings about AI technology overall. “The visible sort of manifestation of AI is a data center, and it’s something that people can say, ‘I don’t want this in my community,’” she explained. “I think there’s an underlying bigger issue, which is how people feel about AI in general.” Meta believes it could turn around the negative consumer sentiment around AI if it’s able to demonstrate the value, not only of the data centers coming to local communities, but also in the technology itself. “The stakes of who builds the technology that cures cancer, that gives access to education, that is also a very fundamental difference … Mark [Zuckerberg, Meta CEO] is very ‘long human,’ and he’s betting on humans more than machines,” Powell McCormick explained. “And that’s what we mean when we say the future is for everyone. That people should not be left behind. But the way to ensure that is that this technology is democratized, that people have access to it in a very fair and transparent way,” she said. The exec also touted Meta’s experience in building data centers, saying that the company has been doing so for 20 years, as it takes a lot of compute power to offer the products it does in the social networking space. Today, the company has data centers in 23 states, she said, and five of them, including one in Texas, are planned as projects of 1 gigawatt or more. But Meta is now worried that it could lose some of its investments after politicians ran on anti-data-center platforms during the midterms. “I think it’s going to be harder,” Powell McCormick said, describing what the future of building data centers looks like. “It has been hard, I should say, but I also think that it’s becoming clear what models work, and the states want those models that work.” Specifically, communities only want data centers when it benefits them in some way, she explained, laying out the approach that Meta today uses to close its data center deals in local communities. Successful projects see Meta paying for its own electricity, directing any tax surpluses as a result of the data centers toward teachers and first responders, keeping the labor force local, and getting bipartisan support for the project, among other things. Going forward, she expects data center projects to come under more review and be weighed against whether the constituents actually want them. Meta has pinned its hopes on its AI investments, particularly its consumer AI agent Muse scaling far beyond the 10 million users it has today, to become a business that one day serves billions. But even if that’s not the case, it believes that its investments in data centers will not be for nothing, as the compute itself will be valuable. “We’re getting calls every day to lease that compute [we’ve built], and so one way or another, we’re seeing a path to monetization,” Powell McCormick said.
Muse Voice, a feature that lets users call and video chat with Meta’s consumer AI agent, Muse, is now available to everyone in the U.S., the company announced on Thursday. Firstintroducedat Meta’s Connect developer conference in September, the video-chatting feature involves new AI models,Muse Realtime Avatarand Muse Realtime Voice technology, which help power the digital avatar that chats with the user. While other AI competitors offer voice chat features, Meta’s Muse offers a cute, animated avatar (nicknamed Jolly), which users interact with as they ask questions or request tasks to be handled on their behalf. Users can also customize the avatar as they choose, changing it to something that looks more like a person, animal, or some other character. The company believes that anthropomorphizing Muse in this way could make consumers feel more connected to their AI agent — a connection that could grow even stronger as they begin to engage in live conversations with it. As the Muse avatar speaks, Meta says it will use “subtle expressions and gestures” that match the tone of the conversation. (Muse doesn’t actually “see” the user, but it hears them and reacts based on their conversations.) The news of the rollout was announcedvia blog postandon Xby Meta’s chief AI officer, Alexandr Wang, who shared a demo of his Muse in action. The video saw Wang joking around, referencing his love of posting memes on X, which he told his Muse may have gotten him in trouble with his boss. His Muse, a fluffy white dog, responds with a suggestion to add disclaimers to those memes that could be misinterpreted as Meta endorsing anything risqué. (Ha!) The added support for video chats and calls comes just before Meta’s plan to launcha Tamagotchi-like wearable device for its Muse AI agentbefore year-end. When the device arrives, the digital avatar will appear on its small screen, letting users talk to the agent, which can then reply or carry out tasks for them. Meta says the real-time conversations are supported on mobile, web, and Mac and will later come to its AI Glasses and the upcoming “Muse Charm” hardware device.
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